Zixin Guo

About Me

I’m currently a fourth-year undergraduate student in Computer Science at University of Toronto. I’m interested in computer vision and I have garnered a wealth of research experience across both academic and industry settings.

My journey includes a role as a computer vision engineer intern at the CV lab, JD AI Research in 2021, where I developed a patented Self-Attention Defect Detection method and was recognized as a Star Intern by Dr. Tao Mei , Vice President of JD.com. In 2023, I contributed to the Dynamic Graphics Project (DGP) Lab at the University of Toronto, focusing on Denoising Diffusion Models to generate neural 3D representations, under the guidance of Prof. David Lindell. Now, I have been leading several projects on 3D scene editing and inpaintings as a computer vision research intern at Noah’s Ark Lab, Huawei Technologies Canada.

Outside of academia, I’m passionately engaged in the game of golf, since each game is a perfect blend of mental challenge and physical activity that complements my rigorous academic pursuits. During the winter months, I revel in the thrill of snowboarding, finding it a relaxing way to glide down snowy slopes.

Research Interests

• 3D Representations: Neural Radiance Field (NeRF), 3D Gaussian Splatting (3DGS)
• Applications in AIGC: Text to 3D Generation and Editing using Diffusion Models